Start with the choice, not the topic
A topic names an area of interest; a decision identifies an action someone must take. “Workshop attendance” is a topic. “Should our library offer its introductory workshop on weekday evenings or Saturday mornings next term?” is a decision. The second version gives research a purpose: it must help compare two realistic options for a particular group and time period.
Write the decision in one sentence before searching for information. Name who will make it, which options are available, and what cannot easily change. The library, for example, may have the same room and staff hours whichever time it chooses. Those limits matter because evidence about an option the library cannot offer will not help much. If the choice is not yet clear, ask what action would change depending on what you learn.
Define what a good outcome would mean
People can agree on a decision while picturing different goals. One person may want the largest audience; another may want to reach people who have not attended before. Before framing research questions, list the outcomes that would make one option preferable. For the workshop, these might include expected attendance, accessibility for the intended audience, staff workload, and the likelihood that participants can use what they learn.
Turn each outcome into something you could examine. “Which time is better?” is too broad. “Which time can more interested patrons attend?” points toward a survey or a review of past sign-ups, if records are available. “What staffing would each time require?” points toward schedules and conversations with staff. Not every outcome needs a number: brief accounts of why someone cannot attend may reveal barriers that a count alone would miss. Decide which outcomes matter most before seeing the results, so a convenient finding does not quietly become the sole criterion.
Expose the assumptions behind each option
A useful research question often begins as an untested sentence: “Saturday will suit families,” or “Evenings will be easier to staff.” List the assumptions that would have to be true for each option to work. Then distinguish claims you can investigate from preferences you need to discuss. Whether staff are available on Saturday is an evidence question. How much extra workload is acceptable is a judgment for the decision makers.
Ask which unknowns could actually change the choice. If Saturday staffing is already impossible, a detailed comparison of audience preferences may be premature. If both times are feasible, attendance barriers may be the deciding unknown. This step keeps the inquiry focused. It also reveals when a promising question, such as “When are people free?”, needs a narrower form: “Among people this workshop aims to serve, what prevents attendance at each proposed time?”
Build a small set of answerable questions
Organize questions by their job. Descriptive questions establish the situation: “Who has attended previous sessions, and when were they held?” Comparative questions examine the options: “How do the two proposed times differ in likely access and staffing needs?” Explanatory questions explore reasons: “What barriers do interested patrons report?” Keeping these jobs separate makes it easier to see whether your evidence supports a comparison or merely describes one option.
For each question, specify the group, options, time frame, and evidence you could reasonably obtain. A short conversation with potential participants may help explain barriers but cannot establish how every patron would respond. Past attendance records may show what happened under earlier schedules, but other differences between sessions could matter. If the ideal evidence is unavailable, narrow the question rather than pretending a rough measure answers a broader one.
Connect the answers back to the decision
Before collecting evidence, sketch how you will use it: “If one time is workable for staff and clearly removes a major access barrier, we will favor it; if neither does, we will consider a small trial.” This is not a rigid formula. It is a way to make the reasoning visible and to identify what you will do if the evidence is mixed.
When you present the findings, answer the research questions and then return to the original choice. State what the evidence suggests, what it does not establish, and which judgments remain. The library might find that evenings are easier to staff while Saturday mornings appear more accessible to some patrons. Research cannot assign a universal weight to those priorities, but well-framed questions can show the trade-off clearly enough for a decision maker to act, test the choice, and revisit it if needed.
